Fix pickling issue in BaseTokenizer #153
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Hello @chonknick, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!
Summary of Changes
As gemini-code-assist, I've reviewed this pull request from chonknick. It addresses issue #56 by adding documentation to the BaseTokenizer class in src/chonkie/tokenizer.py. The PR clarifies an existing implementation detail: using a named method (defaulttoken2id) instead of a lambda function as the default_factory for the token2id defaultdict. This structure was already present, but the added comments and updated docstring explain why this is necessary – lambda functions that capture local variables cannot be pickled, which previously caused errors when using features like RecursiveChunker.
Highlights
- Documentation Update: Adds comments and docstring updates to the
BaseTokenizerclass to explain existing code structure. - Pickling Explanation: Clarifies why using a named method for the
defaultdictfactory is crucial to avoid Python pickling errors. - BaseTokenizer Class: Changes are focused on the
__init__anddefaulttoken2idmethods within this class.
Changelog
- src/chonkie/tokenizer.py
- Added a comment in the
__init__method explaining that using a lambda for thedefaultdictfactory would cause pickling issues (around line 36). - Updated the docstring for the
defaulttoken2idmethod to explicitly state its purpose as adefault_factoryand its role in ensuring the object can be pickled (around lines 42-45).
- Added a comment in the
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Lambda's quick and neat,
But pickle finds its capture sweet,
Use a named def,
Avoid pickling death,
Make your objects complete.
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PR Summary
This PR fixes a pickling issue in BaseTokenizer by replacing a lambda function with a named method for defaultdict's factory function, enabling proper serialization during batch processing.
- Replaced lambda
8000
lambda: len(self.vocab)with named methoddefaulttoken2id()insrc/chonkie/tokenizer.py - Added docstring to explain the pickling compatibility rationale
- Maintains identical functionality while enabling proper serialization
- Critical fix for RecursiveChunker batch processing functionality
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Code Review
This pull request effectively addresses the pickling issue in BaseTokenizer by replacing the lambda function with a named method for the defaultdict factory. The change is clear, concise, and well-explained both in the PR description and through the added code comments and docstring. This is a solid fix that improves the robustness of the tokenizer. Great job!
Summary of Findings
- Docstring Clarity for
defaulttoken2id: The docstring fordefaulttoken2idis helpful in explaining why a named method is used. For even greater clarity, the first line could be slightly more descriptive of its specific function within thedefaultdictcontext. For instance, instead of "Return the default token ID.", something like "Generate a new token ID for an unknown token." or "Provides the default factory logic fortoken2id, returning the next available ID." could be considered. This is a minor stylistic suggestion and was not added as a direct review comment due to the configured severity threshold for comments.
Merge Readiness
The changes in this pull request are well-implemented and directly resolve the described pickling issue. The code is clear and the accompanying explanations are excellent. I believe this PR is in good shape and ready for merging. As always, ensure any CI checks pass and consider if further review by others is standard practice for your team before merging. I am not authorized to approve pull requests.
Fixes #56
This PR fixes the pickling issue in BaseTokenizer by using a named method instead of a lambda function for the defaultdict factory. Lambda functions cannot be pickled when they capture local variables, which was causing the error
Can't pickle local object 'BaseTokenizer.__init__.<locals>.<lambda>'when trying to run batching via RecursiveChunker.